ING expats

Increased revenue through personalized second transaction advertisements.

ING expats

Increased revenue through personalized 2nd transaction advertisements.

1,56X

higher conversion rate

4m

users profiled 

253K

scanned properties

This looks like great results to me. I would like to continue this.

– Dave Deruytter, Head of Expatriates, ING Belgium

ING Group ranks among the leading financial institutions in Europe and worldwide. Its management structure is divided into business lines. Even though it separates banking and insurance, this structure retains the integrated services model in countries such as Belgium, where it has been successfully developed. Following the example of its parent company, ING Belgium has organized its structure along two business lines: Retail & Private Banking and Wholesale Banking.

ING Group ranks among the leading financial institutions in Europe and worldwide. Its management structure is divided into business lines. Even though it separates banking and insurance, this structure retains the integrated services model in countries such as Belgium, where it has been successfully developed. Following the example of its parent company, ING Belgium has organized its structure along two business lines: Retail & Private Banking and Wholesale Banking.

Co-libry timeline

CO-LIBRY

Connection with portal data

First of all, Co-libry had to connect with the real estate portal and their ad manager. The customer journey phases had to be defined. 

The second element that had to be defined was the profile of different users such as young families, investors, and more.

CLIENT

Define campaign + deliver creatives

Together with ING, we defined their targets and USP’s. ING chose for a wallpaper & leaderboard campaign. They delivered perfect ad creatives so Co-libry could use them on the real estate portal.

CO-LIBRY

Ads are randomly served

The first 1000 clicks, were randomly shown to any visitor to train our AI engines.

CO-LIBRY

1st and 2nd iteration

Based on the data of the random ads, we started to define the best user-profiles and customer journey phase. This is how we received very specific profiles and their customer journey phase.

CLIENT

Targets evaluation

After 2 iterations, Co-libry and ING (client) reviewed if the campaign achieved the targets. ING decided to go on with the campaign. The advertisements had an improved CTR of 1,56X because of personalization.